DPBBM: Dirichlet Process Beta-Binomial Mixture

Beta-binomial Mixture Model is used to infer the pattern from count data. It can be used for clustering of RNA methylation sequencing data.

Version:	0.2.5
Depends:	R (≥ 3.1.0)
Imports:	tmvtnorm, VGAM, gplots, CEoptim
Published:	2016-09-29
Author:	Lin Zhang
Maintainer:	Lin Zhang <lin.zhang at cumt.edu.cn>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	DPBBM results

Documentation:

Reference manual:

DPBBM.pdf

Downloads:

Package source:	DPBBM_0.2.5.tar.gz
Windows binaries:	r-devel: DPBBM_0.2.5.zip, r-release: DPBBM_0.2.5.zip, r-oldrel: DPBBM_0.2.5.zip
macOS binaries:	r-release (arm64): DPBBM_0.2.5.tgz, r-oldrel (arm64): DPBBM_0.2.5.tgz, r-release (x86_64): DPBBM_0.2.5.tgz, r-oldrel (x86_64): DPBBM_0.2.5.tgz

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